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Applied Reliability Engineering and Risk Analysis: Probabilistic Models and Statistical Inference - Hardcover

 
9781118539422: Applied Reliability Engineering and Risk Analysis: Probabilistic Models and Statistical Inference

Synopsis

This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field.

With comprehensive coverage of the theoretical and practical issues of both classic and modern topics, it also provides a unique commemoration to the centennial of the birth of Boris Gnedenko, one of the most prominent reliability scientists of the twentieth century.

Key features include:

  • expert treatment of probabilistic models and statistical inference from leading scientists, researchers and practitioners in their respective reliability fields
  • detailed coverage of multi-state system reliability, maintenance models, statistical inference in reliability, systemability, physics of failures and reliability demonstration
  • many examples and engineering case studies to illustrate the theoretical results and their practical applications in industry

Applied Reliability Engineering and Risk Analysis is one of the first works to treat the important areas of degradation analysis, multi-state system reliability, networks and large-scale systems in one comprehensive volume. It is an essential reference for engineers and scientists involved in reliability analysis, applied probability and statistics, reliability engineering and maintenance, logistics, and quality control. It is also a useful resource for graduate students specialising in reliability analysis and applied probability and statistics.

Dedicated to the Centennial of the birth of Boris Gnedenko, renowned Russian mathematician and reliability theorist

"synopsis" may belong to another edition of this title.

About the Author

Ilia Frenkel, Center for Reliability and Risk Management, Industrial Engineering and Management Department, SCE - Shamoon College of Engineering, Israel
Ilia has forty years academic experience, teaching in Russia and Israel. Currently he is a senior lecturer and Director of the Centre for Reliability and Risk Management in the Industrial Engineering and Management Department of the SCE - Shamoon College of Engineering, Israel. Previously he worked as Department Chair and Associate Professor in the Applied Mathematics and Computers Department at Volgograd Civil Engineering Institute. He is a member of the editorial board on Maintenance and Reliability, Communications in Dependability and Quality Management, and has published scientific articles and book chapters in the fields of reliability, applied statistics and production and operation management.

Alex Karagrigoriou, Department of Mathematics and Statistics, University of Cyprus
Alex is Associate Professor of Statistics, Department of Mathematics and Statistics, University of Cyprus and Professor of Probability and Statistics, University of the Aegean. He worked at the University of Maryland, the United States Department of Agriculture and the Institute of Statistical Sciences, Taiwan, and taught thirty-two courses at the Universities of Maryland, Athens, the Aegean, and Cyprus. He has been involved in the organization of eight international conferences. He has written two textbooks on statistical analysis, teaching notes for undergraduate and graduate courses, and has published more than fifty articles on statistics and applied probability. Alex has served as reviewer for the United States National Security Council and the United Kingdom Economic and Social Research Council.

Anatoly Lisnianski, Reliability Department, The Israel Electric Corporation Ltd., Israel
Anatoly is an engineering expert in the Reliability Department of The Israel Electric Corporation Ltd., Israel, an adjunct senior lecturer in Haifa University, Israel, and Scientific Supervisor of the Centre for Reliability and Risk Management in the Industrial Engineering and Management Department of the SCE - Shamoon College of Engineering, Israel. Previous to this he was Senior Researcher in Federal Scientific & Production Center "Aurora" in St-Petersburg, Russia. He is a Senior Member of IEEE, Member of Israel Society of Quality and Israel Statistical Association, and is an author of more than one hundred publications in the field of reliability and applied probability.
He has been guest editor for International Journal of Reliability, Quality and Safety Engineering.

Andre Kleyner, Global Reliability Engineering Leader, Delphi Electronics and Safety, USA
Andre has twenty-five years of engineering, research, consulting, and managerial experience specializing in the reliability of electronic and mechanical systems. He is currently a Global Reliability Engineering Leader with Delphi Electronics & Safety and an adjunct professor at Purdue University.? He is a senior member of American Society for Quality, a Certified Reliability Engineer, Certified Quality Engineer, and a Six Sigma Black Belt.? He also holds several US and foreign patents and authored multiple publications on the topics of reliability, statistics, warranty management, and lifecycle cost analysis.? Andre Kleyner is Editor of the Wiley Series in Quality & Reliability Engineering.

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  • PublisherWiley
  • Publication date2013
  • ISBN 10 1118539427
  • ISBN 13 9781118539422
  • BindingHardcover
  • LanguageEnglish
  • Edition number1
  • Number of pages448

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9781118701881: Applied Reliability Engineering and Risk Analysis: Probabilistic Models and Statistical Inference

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Hardcover. Condition: Very Good. 1st Edition. Hardcover, xxxiii+413 pages, NOT ex-library. Gently used, book is clean and bright with unmarked text, free of inscriptions and stamps. Boards show small indentations to edges. Issued without a dust jacket. -- Contents: I Degradation Analysis, Multi- & Continuous-state System Reliability 1 Methods of Solutions of Inhomogeneous Continuous Time Markov Chains for Degradation Process Modeling [Formalism of ICTMC; Numerical Solution Techniques; Examples; Comparisons of the Methods & Guidelines of Utilization] 2 Multistate Degradation & Condition Monitoring for Devices with Multiple Independent Failure Modes [Multistate Degradation & Multiple Independent Failure Modes; Parameter Estimation; Important Reliability Measures of a Condition-Monitored Device; Numerical Example] 3 Time Series Regression with Exponential Errors for Accelerated Testing & Degradation Tracking 4 Inverse Lz-Transform for a Discrete-State Continuous-Time Markov Process & Its Application to Multi-State System Reliability Analysis [Inverse Lz-Transform: Definitions & Computational Procedure; Application of Inverse Lz-Transform to MSS Reliability Analysis; Numerical Example] 5 Lz-Transform Application for Availability Assessment of an Aging Multi-State Water Cooling System for Medical Equipment [Brief Description of Lz-Transform Method; Multi-state Model of the Water Cooling System for the MRI Equipment; Availability Calculation] 6 Combined Clustering & Lz-Transform Technique to Reduce the Computational Complexity of a Multi-State System Reliability Evaluation [Lz-Transform for Dynamic Reliability Evaluation for MSS; Clustering Composition Operator in the Lz-Transform; Computational Procedures; Numerical Example] 7 Sliding Window Systems with Gaps 8 Development of Reliability Measures Motivated by Fuzzy Sets for Systems with Multi- or Infinite-States [Models for Components & Systems Using Fuzzy Sets; Fuzzy Reliability for Systems with Continuous or Infinite States; Dynamic & System Fuzzy Reliability; Examples & Applications] 9 Imperatives for Performability Design in the 21t Century [Strategies for Sustainable Development; Reappraisal of the Performance of Products & Systems; Dependability & Environmental Risk are Interdependent; Performability: Appropriate Measure of Performance; Towards Dependable & Sustainable Designs] / II Networks & Large-Scale Systems 10 Network Reliability Calculations Based on Structural Invariants [1st Invariant: D-Spectrum, Signature; 2nd: Importance Spectrum. Birnbaum Importance Measure BIM; Example: Reliability of a Road Network; 3rd: Border States; Monte Carlo to Approximate the Invariants] 11 Performance & Availability Evaluation of IMS-Based Core Networks 12 Reliability & Probability of First Occurred Failure for Discrete-Time Semi-Markov Systems 13 Single-Source Epidemic Process in a System of Two Interconnected Networks / III Maintenance Models 14 Comparisons of Periodic & Random Replacement Policies 15 Random Evolution of Degradation & Occurrences of Words in Random Sequences of Letters 16 Occupancy Times for Markov & Semi-Markov Models in Systems Reliability 17 Practice of Imperfect Maintenance Model Selection for Diesel Engines 18 Reliability of Warm Standby Systems with Imperfect Fault Coverage / IV Statistical Inference in Reliability 19 Validity of the Weibull-Gnedenko Model 20 Statistical Inference for Heavy-Tailed Distributions in Reliability Systems 21 Robust Inference based on Divergences in Reliability Systems 22 COM-Poisson Cure Rate Models & Associated Likelihood-based Inference with Exponential & Weibull Lifetimes 23 Exponential Expansions for Perturbed Discrete Time Renewal Equations 24 On Generalized Extreme Shock Models under Renewal Shock Processes / V Systemability, Physics-of-failure & Reliability Demonstration 25 Systemability Theory & its Applications 26 Physics-of-Failure based Reliability Engineering 27 Accelerated Testing: Effect of Variance in Field Environmental Conditions on the Demonstrated Reliability. Seller Inventory # 005011

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Hardcover. Condition: new. Hardcover. This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field.With comprehensive coverage of the theoretical and practical issues of both classic and modern topics, it also provides a unique commemoration to the centennial of the birth of Boris Gnedenko, one of the most prominent reliability scientists of the twentieth century. Key features include: expert treatment of probabilistic models and statistical inference from leading scientists, researchers and practitioners in their respective reliability fieldsdetailed coverage of multi-state system reliability, maintenance models, statistical inference in reliability, systemability, physics of failures and reliability demonstrationmany examples and engineering case studies to illustrate the theoretical results and their practical applications in industry Applied Reliability Engineering and Risk Analysis is one of the first works to treat the important areas of degradation analysis, multi-state system reliability, networks and large-scale systems in one comprehensive volume. It is an essential reference for engineers and scientists involved in reliability analysis, applied probability and statistics, reliability engineering and maintenance, logistics, and quality control. It is also a useful resource for graduate students specialising in reliability analysis and applied probability and statistics.Dedicated to the Centennial of the birth of Boris Gnedenko, renowned Russian mathematician and reliability theorist This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781118539422

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